Data Analyst

TDI LLC
United States
1 day ago
Apply on www.thejobnetwork.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$130,000.0 - $145,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services Data Analysis Application Integration Architecture Business Logic Confluence JIRA Microsoft Azure Big Data Data Cleansing Data Governance Extract Transform Load (ETL)
+22 more
Data Systems Data Visualization Digital Assets Document-Oriented Databases Elasticsearch Python (Programming Language) NumPy Power BI Logstash SQL Databases Tableau (Software) Web Content Accessibility Guidelines Google Cloud Cloud Platform System Grafana Git Pandas Information Technology Color Theory Kibana Software Version Control Data Pipelines

Job description

  • Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability.
  • Analyze complex datasets to identify trends, patterns, and insights that answer operational and business questions.
  • Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders.
  • Applying the basics of visual design (i.e. UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection and color theory and demonstrate an understanding of visual, layout, content organization, and accessibility guidelines.
  • Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences.
  • Engage with stakeholders to understand business needs, operational challenges, and data requirements.
  • Refine and maintain data transformation pipelines, ensuring data quality, reliability, and alignment with business logic.
  • Develop and maintain self-service analytics tools and reusable data assets to empower end users.
  • Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
  • Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.

Requirements

  • Active DoD TS/SCI security clearance. Ability to pass additional customer suitability screening(s) prior to start.
  • Current Security+ or equivalent/higher
  • Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience. Additional experience may be considered in lieu of degree.
  • Demonstrable experience designing and building data visualizations and dashboards using Kibana.
  • Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R.
  • Strong understanding of data modeling, ETL processes, and data pipeline development.
  • Ability to translate business requirements into technical solutions and actionable insights.
  • Excellent communication skills, with the ability to present complex data findings to diverse audiences.
  • Experience with version control systems (e.g., Git) and collaborative development environments.
  • Strong attention to detail and commitment to data quality and reliability.
  • Strong communication and documentation skills for collaboration and knowledge sharing.
  • Experience in application integration design and strong communication skills for collaboration with virtual teams., * Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
  • Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar.
  • Experience developing self-service analytics solutions and reusable data assets.
  • Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
  • Experience with cloud-based data platforms (AWS, Azure, GCP) and big data technologies.
  • Knowledge of data governance, security, and compliance best practices.

Benefits & conditions

The anticipated salary range for this position is $130,000 - $145,000. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data and applicable contract requirements, and may fall outside the posted range.

TDI does business with the federal government, which restricts employment to individuals who are either US citizens or lawful permanent residents of the United States.

“TDI is an Equal Opportunity Employer. Employment decisions are made based on individual qualifications, merit, and business needs. We do not discriminate in employment opportunities or practices based on race, color, religion, sex, or national origin, in accordance with applicable federal laws.”

Powered by JazzHR

About the company

Job DescriptionTetrad Digital Integrity (TDI) is a leading-edge cybersecurity firm with a mission to safeguard and protect our customers from increasing threats and vulnerabilities in this digital age.

TDI is seeking a Data Analyst to support a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions in support of some of our nation’s most sensitive and critical missions.

This is a fully onsite opportunity requiring a daily commute to the Washington, DC area. An active TS/SCI security clearance is required.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.thejobnetwork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

3:05 min

Integrating an assistant application with Jira software

Felix Augenstein · LIVE

2:34 min

Maximizing execution memory effectively via python numpy broadcasting

Jodie Burchell · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

56 sec

Favorite git commands and the importance of patch commits

Eileen Uchitelle Eileen Uchitelle +1 · Coffee With Developers

Videos

See all

Related articles

See all